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# EconHM14 - Question#1 In a simple linear regression model...

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Question #1 In a simple linear regression model, the least squares estimators for the intercept and slope of the population regression line are computed by minimizing Hint: There are 5 correct answers. the absolute differences between the values of the dependent variable and its conditional means. the SSE. the sample correlation coefficient. the R-square. the sum of squared residuals. the error sum of squares. the sum of the differences between the values of the dependent variable and its conditional means. the SST. the sum of the absolute discrepancies between the values of the dependent variable and its fitted values. the sum of squared discrepancies between the values of the dependent variable and its estimated conditional means. the SSR. the squared differences between the actual values of the dependent variable and its estimated conditional means. the sum of squared differences between the observed values of the dependent variable and its fitted values.

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